Llm Codes

llm.codes 📖 - Transform Developer Documentation for AI Agents

A high-performance web service that converts JavaScript-heavy documentation sites into clean, LLM-optimized Markdown. Built specifically to solve the problem of AI agents being unable to parse modern documentation sites that rely heavily on client-side rendering.

**Why llm.codes exists**: Modern AI agents like Claude Code struggle with JavaScript-heavy documentation sites, particularly Apple's developer docs. This tool bridges that gap by converting dynamic content into clean, parseable Markdown that AI agents can actually use.

📖 **Read the full story**: [How llm.codes Transforms Developer Documentation for AI Agents](https://steipete.me/posts/llm-codes-transform-developer-docs)

   

Technical Architecture

Core Problem Solved

Modern documentation sites (especially Apple's) use heavy JavaScript rendering that makes content invisible to AI agents. llm.codes solves this by:

• Using Firecrawl's headless browser to execute JavaScript and capture fully-rendered content
• Converting dynamic HTML to clean, semantic Markdown
• Removing noise (navigation, footers, duplicate content) that wastes AI context tokens
• Providing parallel URL processing for efficient multi-page documentation crawling

Key Features

• Parallel Processing: Fetches up to 20 URLs concurrently using batched promises
• Smart Caching: Redis-backed 30-day cache reduces API calls and improves response times
• Content Filtering: Multiple filtering strategies to remove:
  • Navigation elements and boilerplate
  • Platform ava